Peer-Reviewed Publication
J Imaging Inform Med2026;39(2):1816-1833.April 1, 2026Journal Article
Digital Twin Technology In Radiology.
Sara Sadat Aghamiri1, Rada Amin2, Pouria Isavand3, Sanaz Vahdati4, Atefeh Zeinoddini5, Felipe C Kitamura6,7, Linda Moy8, Timothy Kline9
1Decision Neuroscience Laboratory, Center for Brain, Biology, and Behavior, University of Nebraska, Lincoln, NE, 68503, USA. saghamiri2@unl.edu.
2Cancer Digital Twin, San Mateo, CA, USA.
3Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
4Mayo Clinic Artificial Intelligence Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
5Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
6Department of Diagnostic Imaging, Universidade Federal de São Paulo, Rua Napoleão de Barros 800, São Paulo, SP, 04024-000, Brazil.
7Bunkerhill Health, San Francisco, CA, USA.
8Department of Radiology, New York University Grossman School of Medicine, New York, USA.
9Department of Radiology, Mayo Clinic, Rochester, MN, USA. Kline.Timothy@mayo.edu.
Abstract
A digital twin is a computational model that provides a virtual representation of a specific physical object, system, or process and predicts its behavior at future time points. These simulation models form computational profiles for new diagnosis and prevention models. The digital twin is a concept borrowed from engineering. However, the rapid evolution of this technology has extended its applica…
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